Ce manuscrit est consacré à l'étude de la méthode du développement en singularités (SEM) appliquée aux antennes. Dans la première partie de ce travail, trois méthodes d'extraction des pôles de résonance sont présentées et comparées : les méthodes de Prony et Matrix Pencil dans le domaine temporel et la méthode de Cauchy dans le domaine fréquentiel. Une procédure est établie pour optimiser l'extraction avec chaque méthode et une étude de robustesse montre que la méthode Matrix Pencil permet d'obtenir plus de pôles et avec une meilleure précision que les deux autres méthodes en présence de bruit. Dans un second temps, la méthode Matrix Pencil est appliquée sur des réponses d'antennes, obtenues en rayonnement et en Surface Equivalente Radar (SER), et les pôles de résonance extraits sont identiques pour les deux approches. Cette étude valide donc la possibilité d'extraire les pôles de résonance d'une antenne directement à partir de sa SER. La variation de la position des pôles de résonance en fonction des dimensions et de la charge de deux antennes est ensuite étudiée et met en évidence le lien entre l'impédance d'entrée de l'antenne et ses pôles de résonance. Enfin, les mesures de la SER de trois antennes valident expérimentalement l'extraction des pôles de résonance à partir de la SER d'une antenne. Ce travail pose donc les bases de la caractérisation d'antennes à l'aide de la SEM appliquée à la SER de l'antenne.

Thermoplastic materials have significant nonlinear behaviour. The nonlinear behaviour is described by creep curves. The curves of creep modules are dependent on stress, temperature and time. The dissertation thesis deals with the approximation of the creep modules by Prony series. Subsequently three procedures are proposed to take account of creep modules. The proposed procedures are used in two applications. The first application deals with the ring stiffness value of a corrugated sewage pipe. The ring stiffness value is influenced by the creep modulus. The other one deals with a thermoplastic flange connection. The clamping force is dependent on the creep modulus of thermoplastics. The problems were solved by ANSYS program system.

Every moment of every day, at least hundreds of thousands of tires roll across a surface throughout the world. Tires are indisputably important in our daily life. The tire's primary component is rubber, which consumes energy when it rotates on a substrate due to the viscoelastic material's internal friction: a phenomenon referred to as rolling resistance. The interaction between the tire and the road surface is one of the most intricate and crucial phenomena in an automobile, because it is responsible for creating forces, moments, and deformation in the tire. Additionally, the road's roughness interacts with the tire and contributes significantly to its performance. This dissertation aims to develop a comprehensive physics-based model for predicting the rolling resistance of a viscoelastic material due to dynamic deformations caused by tire rotation using an analytical approach. The model was developed by proposing a Gaussian wave function propagating across a tire circumference's viscoelastic medium. The wave function was selected to describe the displacement field produced by tire-road interaction. Additionally, by adopting a multi-scale modeling technique, the model was upgraded to estimate rolling resistance while taking into account surface roughness at all length scales, from macroscopic to microscopic. Additionally, another mathematical model was developed using the Fourier series approach to evaluate the steady-state stress response and energy dissipation for any harmonic and non-harmonic periodic strain signals. Additionally, the dissertation strove to build a continuum damage mathematical model using a combined testing/modeling methodology to predict the aging of Styrene-Butadiene Rubber (SBR) after continuous exposure to the atmosphere. The obtained model was developed through the implementation of optimization techniques while formulating a mathematical model, which was then combined with a physics-based model to predict rolling resistance while taking into account rubber aging. Calibration of hyperelastic and viscoelastic material models with testing data was performed using an optimization technique that yielded sufficient results. The results of all mathematical models obtained in this dissertation are reported subsequently. The stress response of a viscoelastic material under harmonic and non-harmonic strain input yielded good agreement with the FEA model obtained using ABAQUS. The rolling resistance behavior under various operating conditions, including texture and aging effects, was reported, and the results aligned with the experimental results found in the literature. / Doctor of Philosophy / Every moment of every day, hundreds of thousands of automobile tires roll across a surface somewhere in the world. A tire is an undeniably important part of everyday life. Rubber is the tire's main component, and when it rotates on a surface, it loses energy, resulting in a force that resists motion, known as rolling resistance force. The contact between the tire and the road is one of the most complicated and important phenomena that happens in an automobile because it is responsible for the vehicle's dynamic performance in areas such as acceleration, stopping distance, and stability. Another factor that affects tire and car performance and should be taken into account is the road's roughness. This dissertation used an analytical method to come up with an accurate physics-based model for predicting the rolling resistance force of a viscoelastic material caused by tire rotation. The model was developed by assuming a Gaussian wave function would move across the tire circumference. Additionally, using a multi-scale modeling technique, the model was improved so that it could calculate the value of rolling resistance force considering surface roughness in all lengths of scale. This project also developed an additional mathematical model using the Fourier series method to determine how the stress response and energy dissipation would behave for any harmonic and nonharmonic periodic strain signals. Additionally, the dissertation presents the developing of a continuum damage mathematical model that could predict the material property of styrene-butadiene rubber (SBR) after being exposed to the air for a long time (i.e., aged). The model was developed based on experimental data and optimization techniques. This model was then combined with a physics-based model to predict rolling resistance force while taking aging into account. The material models were defined using an optimization method that yielded good results. The stress response of a viscoelastic material when it was subjected to harmonic and non-harmonic strain was in good agreement with the Finite Element Analysis (FEA) model made with ABAQUS. Rolling resistance behavior was observed, and the results were consistent with those found in the literature.

No description available.

Power system generators are interconnected in a distributed network to allow sharing of power. If one of the generators cannot meet the power demand, spare power is diverted from neighbouring generators. However, this approach also allows for propagation of electric disturbances. An oscillation arising from a disturbance at a given generator site will affect the normal operation of neighbouring generators and might cause them to fail. Hours of production time will be lost in the time it takes to restart the power plant. If the disturbance is detected early, appropriate control measures can be applied to ensure system stability. The aim of this study is to improve existing algorithms that estimate the oscillation parameters from acquired generator data to detect potentially dangerous power system disturbances. When disturbances occur in power systems (due to load changes or faults), damped oscillations (or &quotmodes") are created. Modes which are heavily damped die out quickly and pose no threat to system stability. Lightly damped modes, by contrast, die out slowly and are more problematic. Of more concern still are &quotnegatively damped" modes which grow exponentially with time and can ultimately cause the power system to fail. Widespread blackouts are then possible. To avert power system failures it is necessary to monitor the damping of the oscillating modes. This thesis proposes a number of damping estimation algorithms for this task. If the damping is found to be very small or even negative, then additional damping needs to be introduced via appropriate control strategies. This thesis presents a number of new algorithms for estimating the damping of modal oscillations in power systems. The first of these algorithms uses multiple orthogonal sliding windows along with least-squares techniques to estimate the modal damping. This algorithm produces results which are superior to those of earlier sliding window algorithms (that use only one pair of sliding windows to estimate the damping). The second algorithm uses a different modification of the standard sliding window damping estimation algorithm - the algorithm exploits the fact that the Signal to Noise Ratio (SNR) within the Fourier transform of practical power system signals is typically constant across a wide frequency range. Accordingly, damping estimates are obtained at a range of frequencies and then averaged. The third algorithm applied to power system analysis is based on optimal estimation theory. It is computationally efficient and gives optimal accuracy, at least for modes which are well separated in frequency.

El aparato digestivo permite que los alimentos se conviertan en nutrientes y proporcionen al organismo las calorías y los elementos fundamentales para la vida, al mismo tiempo que se expulsan y eliminan los productos residuales de forma adecuada. La motilidad intestinal es muy importante para conseguir la segmentación del quimo y el tránsito intestinal y está determinada por la actividad mioeléctrica de las capas musculares intestinales. Dicha actividad también se le denomina electroenterograma (EEnG). La señal mioeléctrica es el resultado de una componente de baja frecuencia que en condiciones fisiológicas está siempre presente llamada onda lenta (OL) o ritmo eléctrico básico (BER) que constituye el marcapasos intestinal; y una componente de alta frecuencia llamada spike bursts o potenciales rápidos de acción que está asociada a las contracciones intestinales. El análisis del EEnG es un paso clave para monitorizar la actividad intestinal. El estudio del BER intestinal no sólo proporciona información acerca del ritmo básico de las contracciones del intestino, sino que puede ayudar a diagnosticar algunas patologías gastrointestinales. Para ofrecer esta herramienta como aplicación clínica, el registro de la señal del EEnG debe ser no invasivo. El objetivo de la presente Tesis Doctoral es detectar la actividad del marcapasos intestinal y caracterizar el ritmo eléctrico básico en el EEnG externo, comparándolo y estudiando su relación con el EEnG interno. Las señales analizadas fueron obtenidas simultáneamente en la superficie abdominal y en la serosa intestinal de perros Beagle en estado de ayuno. Los métodos de estimación autoregresivo (AR), autoregresivo de media móvil (ARMA), Prony y clasificación de señales múltiples (MUSIC), se emplearon para determinar la distribución espectral de potencia asociada a la actividad de la onda lenta, tanto en los registros internos como externos. Por otro lado, para estudiar la relación entre el espectro de la señal captada en superficie y las señales internas, se estimaron las funciones de coherencia utilizando los modelos autoregresivo multivariante (ARM) y MUSIC. / Moreno Vázquez, JDJ. (2011). Estudio espectral del ritmo eléctrico básico del intestino delgado para la monitorización no invasiva del marcapasos intestinal [Tesis doctoral]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/14276

Le développement croissant des systèmes de communication sans fil pour des applications médicales (imagerie), radar (surveillance, détection, localisation), radiomobiles (navigation, sur- veillance) et réseaux (WLAN,WPAN) nécessite l'introduction de nouvelles technologies. Depuis peu, un intérêt particulier s'est porté sur des applications courtes distances, très hauts débits (supérieurs à 100 Mbit/s), multi-utilisateurs et faible puissance (inférieure à 1 mW). Dans ce contexte, la technologie Ultra-Large Bande (ULB ou UWB) a récemment attiré l'attention de la communauté scientifique et des industriels. Alors que les technologies bande étroite sont fondées sur une étude dans le domaine fréquentiel, la technologie ULB se prête mieux à une étude dans le domaine temporel puisqu'elle utilise des signaux temporels très brefs, de spectre extrêmement large, de grande période de répétition et de faible puissance. Le développement de cette approche, considérée comme une évolution majeure des technologies traditionnelles bande étroite, induit des problématiques nouvelles au sein d'environnements intra-bâtiment. Ces problématiques nécessitent la réalisation préalable d'études approfondies de modélisation et de caractérisation du canal de propagation pour dimensionner les paramètres du système de transmission.<br />Dans le cadre de l'élaboration d'outils de prédiction déterministe de la propagation à l'in-<br />térieur de bâtiments, entrepris à l'ESYCOM (Marne-La-Vallée) en bande étroite et à l'IETR<br />(Rennes) en ultra-large bande, nous avons cherché à développer une documentation précise<br />associée aux comportements de deux éléments du canal de propagation, les matériaux et les<br />antennes ; l'implémentation de cette documentation dans les simulateurs de canal nécessitera<br />encore un peu de temps. Notre travail a consisté à développer deux modules particulièrement<br />originaux traitant, dans les domaines fréquentiel et temporel, de modélisations analytique et<br />numérique, ainsi que de la caractérisation des matériaux et des antennes à l'aide de bancs de<br />mesure spéciÞquement réalisés. La spéciÞcité des études conduites tient à la modélisation des<br />réponses de ces éléments dans le domaine temporel; notamment, nous avons montré que l'ex-<br />citation d'un matériau par une impulsion génère des échos successifs déformés et atténués dont<br />l'allure dépend de sa structure (porosité, dimension des grains,...) et des conditions initiales<br />(température, humidité, ...). Aussi, l'excitation d'une antenne de type résonante produit des<br />signaux, qui au premier ordre, ont l'allure de la dérivée du signal incident mais ayant subi une<br />distorsion qui dépend de l'angle d'observation. Ainsi, nous avons remarqué que la largeur de<br />l'impulsion d'excitation influe non seulement sur l'allure des impulsions rayonnées dans l'espace,<br />mais aussi sur la direction du maximum de rayonnement. Cette propriété remarquable permet<br />d'envisager la focalisation d'une antenne ULB dans une direction particulière en modifiant la<br />durée et la forme de l'impulsion d'excitation. En prévision de l'analyse des trajets multiples d'un canal de propagation ultra-large bande, nous avons abordé leur identiÞcation à l'aide d'al-<br />gorithmes Haute Résolution (HR) en considérant le canal généré par un matériau du bâtiment.<br />Les algorithmes, MUSIC modiÞé et Faisceau de matrices, sont fondés sur l'analyse spectrale<br />paramétrique des données et prennent en compte la dispersion fréquentielle. Ils ont permis de<br />reconstruire la réponse impulsionnelle de matériaux caractérisés en réflexion.<br />La modélisation d'une chaîne de transmission a été de plus abordée dans le cadre d'études de<br />faisabilité du projet "internet-pêche" qui vise à doter des ßotilles de pêche de longueur inférieure<br />à 25 mètres d'une connexion internet par liaison sans Þl aux fréquences MF-HF ([2 ; 30] MHz).<br />Une modélisation statistique de la surface de la mer, remuée par le vent, pour un profil de relief<br />sous-marin donné, a été proposée. Puis, nous avons implémenté le modèle de propagation du<br />terrain irrégulier afin de rendre compte de la présence d'ondes de sol se propageant sur une<br />surface de mer considérée comme rugueuse.

Fundação Carlos Chagas Filho de Amparo a Pesquisa do Estado do Rio de Janeiro / Nesta dissertação é apresentado um estudo sobre a recuperação de sinais modelados por somas ponderadas de exponenciais complexas. Para tal, são introduzidos conceitos elementares em teoria de sinais e sistemas, em particular, os sistemas lineares invariantes no tempo, SLITs, que podem ser representados matematicamente por equações diferenciais, ou equações de diferenças, para sinais analógicos ou digitais, respectivamente. Equações deste tipo apresentam como solução somas ponderadas de exponenciais complexas, e assim fica estabelecida a relação entre os sistemas de tipo SLIT e o modelo em estudo. Além disso, são apresentadas duas combinações de métodos utilizadas na recuperação dos parâmetros dos sinais: métodos de Prony e mínimos quadrados, e métodos de Kung e mínimos quadrados, onde os métodos de Prony e Kung recuperam os expoentes das exponenciais e o método dos mínimos quadrados recupera os coeficientes lineares do modelo. Finalmente, são realizadas cinco simulações de recuperação de sinais, sendo a última, uma aplicação na área de modelos de qualidade de água. / A study on the recovery of signals modeled by weighted sums of complex exponentials complex is presented. For this, basic concepts of signals and systems theory are introduced. In particular, the linear time invariant systems (LTI Systems) are considered, which can be mathematically represented by differential equations or difference equations, respectively, for analog or digital signals. The solution of these types of equations is given by a weighted sum of complex exponentials, so the relationship between the LTI Systems and the model of study is established. Furthermore, two combinations of methods are used to recover the parameters of the signals: Prony and least squares methods, and Kung and least squares methods, where Prony and Kung methods are used to recover the exponents of the exponentials and the least square method is used to recover the linear coefficients of the model. Finally, five simulations are performed for the recovery of signals, the last one being an application in the area of water quality models.

Fundação Carlos Chagas Filho de Amparo a Pesquisa do Estado do Rio de Janeiro / Nesta dissertação é apresentado um estudo sobre a recuperação de sinais modelados por somas ponderadas de exponenciais complexas. Para tal, são introduzidos conceitos elementares em teoria de sinais e sistemas, em particular, os sistemas lineares invariantes no tempo, SLITs, que podem ser representados matematicamente por equações diferenciais, ou equações de diferenças, para sinais analógicos ou digitais, respectivamente. Equações deste tipo apresentam como solução somas ponderadas de exponenciais complexas, e assim fica estabelecida a relação entre os sistemas de tipo SLIT e o modelo em estudo. Além disso, são apresentadas duas combinações de métodos utilizadas na recuperação dos parâmetros dos sinais: métodos de Prony e mínimos quadrados, e métodos de Kung e mínimos quadrados, onde os métodos de Prony e Kung recuperam os expoentes das exponenciais e o método dos mínimos quadrados recupera os coeficientes lineares do modelo. Finalmente, são realizadas cinco simulações de recuperação de sinais, sendo a última, uma aplicação na área de modelos de qualidade de água. / A study on the recovery of signals modeled by weighted sums of complex exponentials complex is presented. For this, basic concepts of signals and systems theory are introduced. In particular, the linear time invariant systems (LTI Systems) are considered, which can be mathematically represented by differential equations or difference equations, respectively, for analog or digital signals. The solution of these types of equations is given by a weighted sum of complex exponentials, so the relationship between the LTI Systems and the model of study is established. Furthermore, two combinations of methods are used to recover the parameters of the signals: Prony and least squares methods, and Kung and least squares methods, where Prony and Kung methods are used to recover the exponents of the exponentials and the least square method is used to recover the linear coefficients of the model. Finally, five simulations are performed for the recovery of signals, the last one being an application in the area of water quality models.